[PDF] from unitn.it [PDF] Acquiring Relational Patterns from Wikipedia: A Case Study R Mahendra, L Wanzare, R Bernardi, A Lavelli… – Proceedings of the 5th …, 2011 – disi.unitn.it … <http://dbpedia.org/resource/Forrest_Gump> <http://dbpedia.org/ontology/writer> <http://dbpedia.org/resource/Winston_Groom> the sentence extractor module would return the following sentence (1), where both the domain and the range of the writer relation are highlighted. … Cited by 1 View as HTML

Document summarisation using combination and reduction of extracted sentences GK Parai, T Tenneti, PK Borah, S Shah – International Journal of …, 2009 – Inderscience … 195 sentences which would be extracted depends on the size of the summary as specified by the user. The sentence extraction module extracts an additional of 10% of the total sentences in the document, more than the size specified by the user. … Related articles All 5 versions

[PDF] from ijcaonline.org [PDF] Kannada Word Sense Disambiguation for Machine Translation S Parameswarappa… – International Journal of …, 2011 – research.ijcaonline.org … In the subsequent sections we will use some of the example sentences not available in Figure 3 to illustrate the concepts. 3.2 Sentence extractor The input for sentence extractor module is Kannada raw corpora. … These sentences are selected by sentence extractor module. … Related articles View as HTML All 4 versions

[PDF] from nist.gov [PDF] TAC 2008 Update Summarization Task of ICL S Li, W Wan, C Wang – Proceedings of the Text Analysis Conference (TAC), 2008 – nist.gov … The focus of sentence extraction module is on which feature to extract and how to rank the importance of each sentence with reference to their features. In the post-processing module, sentences with higher scores are extracted to compose of the summary with MMR method. … Cited by 4 Related articles View as HTML All 2 versions

Where does text mining meet knowledge management? A case study E D’Avanzo, A Elia, T Kuflik, A Lieto… – Interdisciplinary Aspects of …, 2008 – Springer … LAKE has been extended for Multidocument summarization purposes. Again it has been exploited the KE ability of the system, adding, however, a sentence extraction module able to extract a tex- tual summary of pre-defined length from a cluster of documents. … Related articles All 4 versions

A term weighting method based on lexical chain for automatic summarization YI Song, KS Han, HC Rim – Computational Linguistics and Intelligent Text …, 2004 – Springer … We implemented two systems to be compared with ours; the system using tf as a term weight and the system using tf.idf as a term weight. All systems in our experiments have a common sentence extraction module described in section 3.2. … Cited by 25 Related articles BL Direct All 7 versions

[PDF] from ucd.ie [PDF] Sentence Level Event Detection and Coreference Resolution M Naughton – 2009 – csserver.ucd.ie Page 1. Sentence Level Event Detection and Coreference Resolution by Martina Naughton B.Sc. A Thesis submitted to the National University of Ireland, Dublin for the degree of Doctor of Philosophy in the College of Engineering, Mathematical and Physical Sciences … Cited by 1 Related articles View as HTML

[PDF] from umass.edu [PDF] Sentence level information patterns for novelty detection X Li – 2006 – ciir.cs.umass.edu Page 1. Sentence Level Information Patterns for Novelty Detection A Dissertation Presented by XIAOYAN LI Submitted to the Graduate School of the University of Massachusetts at Amherst in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY … Cited by 7 Related articles View as HTML Library Search All 14 versions

[PDF] from lrec-conf.org [PDF] Multilingual summarization by integrating linguistic resources in the MLIS-MUSI project A Lenci, R Bartolini, N Calzolari, A Agua… – … and Evaluation (LREC …, 2002 – lrec-conf.org … For instance, sentences in introduction and conclusion sections are assigned a higher weight, as well as the first sentence of each section. The sentence extractor module assigns to each sentence a global weight, computed on the basis of the above parameters. … Cited by 18 Related articles View as HTML All 18 versions

Generic and query-based text summarization using lexical cohesion Y Chali – Advances in Artificial Intelligence, 2002 – Springer … Hence, the sentence extractor module proceeds next. … The sentence extractor module has two strategies: generic extraction of sum- maries, and user-focused extraction of summaries in which we assume that the user supplies a list of terms as expressions of the user’s interests. … Cited by 7 Related articles BL Direct All 8 versions